Key Levels Suite - By LeviathanThis is a comprehensive script, designed to display over 100 key price levels across multiple dimensions, including volume profile levels, HTF levels, VWAPs, SMAs/EMAs, market session levels, day of week levels and more. The indicator offers high flexibility in features, settings and visual appearance.
● The script organizes levels into six main categories:
Higher Timeframe (HTF) Levels
- Current and/or previous period: Open, High, Low, and Midpoint for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current weekly high/low and previous weekly high/low).
- These levels provide a clear structure for identifying key support and resistance zones. Traders often use HTF levels to anticipate price reactions, such as bounces or rejections, at major highs and lows. For example, a price nearing the weekly high could signal an area of resistance.
VWAP Levels
- Current and/or previous period: VWAP and upper/lower standard deviations for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current daily VWAP and previous weekly VWAP).
- VWAP levels give traders insight into whether the current price is above or below the fair market value for a given period. It’s often used as a reference point for trend direction or S/R. If the price remains above VWAP, the trend may be seen as bullish, while breaks below VWAP can suggest a shift toward bearish sentiment. Standard deviations help identify areas where the price may be overextended, offering opportunities for mean reversion trades.
Moving Average Levels
- EMA and SMA for three customizable lengths (eg. levels for 200 EMA, 50 EMA and 100 SMA).
- These levels act as dynamic support and resistance lines that adjust with price movement. Traders use them to confirm trend direction and watch for reactions around these levels, particularly in trending markets. For example, when the price pulls back to a 200 EMA, it could present an opportunity to enter a trade in line with the prevailing trend.
Volume Profile Levels
- Current and previous: Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) for Daily, Weekly, Monthly, Quarterly, and Yearly timeframes (eg. levels for current day POC and previous day POC).
- Volume Profile levels highlight price areas where significant trading occurred. The POC indicates the price where the most volume was traded and can act as a strong magnet for price. VAH and VAL mark the boundaries of value areas, making them excellent spots for breakout or mean reversion trades. Traders look for price reactions around these zones to either join or fade moves.
Market Session Levels
- Current and previous: Open, high, low, and midpoint for three user-defined sessions, with default being Tokyo, London, and New York (eg. levels for current New York session open and previous New York session high and low).
- Session levels allow traders to track how price behaves across different global market sessions. For instance, the New York open often brings increased liquidity and volatility. Traders often use these levels to anticipate sharp moves or continuations, especially after session highs and lows are broken, signaling shifts in market momentum.
Day of Week Levels
- Open, high, low, and midpoint for Monday through Sunday (eg. levels for Monday's high and low and Tuesday open).
- These levels help traders identify recurring intraday or intraweek price behaviors. For example, highs or lows established earlier in the week can serve as benchmarks for breakouts or retracements later on. Monday’s open or Friday’s high/low often reflect market sentiment going into or out of the weekend, providing valuable clues for planning trades.
● About the script
I published this script because it was heavily requested by my Tradingview followers who wanted a clean and feature-rich indicator that can display various levels they use in their analysis. The indicator can display levels that are not available in other similar public scripts and makes sure to calculate and load calculation-intensive levels (like volume profile levels, higher timeframe vwap levels, etc) as fast and efficiently as possible. It is one of the only scripts I've published that is not open source. The code is protected because it includes some proprietary calculations (eg: for POC/VAH/VAL), that I don't wish to open source, but I still want to publish a heavily requested script in a public and free format.
● How to use the script
1. Add the script to your chart
Start by adding the script to your chart like any other indicator.
2. Open the indicator settings
Click the settings icon to access all customization options.
3. Select which level groups to display
In the "Controls" section, choose which groups of levels (HTF, VWAP, Moving Averages, etc.) you want displayed. This allows you to quickly toggle between different sets of levels depending on your analysis needs, without overcrowding the chart.
4. Adjust group-specific settings
Scroll down to access detailed settings for each group. For any group, you can choose:
- The relevant time parameter (e.g., Daily, Weekly, Monthly, etc for HTF/VWAP/Volume Profile levels, length for Moving Average levels, day for Day of Week Levels, etc).
- Specific levels to display (e.g., Open/High/Low/Midpoint for HTF, VWAP, Day of Week, Session levels and POC/VAH/VAL for Volume Profile levels).
- For applicable groups, you can also toggle previous period levels by selecting them from the row starting with the "↳" icon.
5. Customize visual appearance
In the "Appearance" section, you have full control over how the levels and labels look. You can:
- Choose what details appear in the labels (e.g., level name, price, or percentage distance from current price).
- Pick from different line types, line style (solid, dashed, dotted), adjust line width, and manage the length of the lines using "Offset Right" and "Offset Left" settings.
- Modify font, label size, and color options. If multiple levels overlap at the same price, use the “Merge Levels” option to combine them into one, reducing visual clutter.
6. Customize level names to your preference
In the "Labels" section, you can rename any parameter to match your preferred abbreviations (e.g., change “Weekly Open” to “wO” or any other shorthand that works for you).
● Key Features:
- Display various different important levels, all in one indicator
- Seamless control of which group of levels / specific level to display
- Choose from various line and label styles to display levels.
- Labels can show the level's title (customizable abbreviations), price, and percentage distance from the current price.
- Merge nearby levels to reduce chart clutter, either for identical levels or those within a user-defined percentage range.
- Fully customizable visual appearance of levels to suit individual preferences.
Cari dalam skrip untuk "the script"
Smart Money Concepts (SMC)Introductions:
Before explaining the functions of this indicator to you, we need to talk about what theoretical knowledge we need to have. Many different price approaches have been developed over the decades with different analysis methods and are still evolving. Some theories used in classical trend analysis methods are interpreted or blended with different perspectives over time and we try to make more successful analyses by having a consistent market reading strategy. While analyzing the classical market structure with the price action method, some issues that are missing and do not fit into place are brought to light with a higher level analysis method known as the smart money concept.
As a result of the research and developments we have done on this subject from many different sources for a long time, I personally think that the most efficient and logical concept is the smart money concept. Of course, no matter which method we use, acting within a risk management and remaining strictly loyal to our conditions should be our first priority so that we can talk about sustainable success in the market. In light of all this, we decided to make an indicator of this concept, which we believe is consistent.
In order to analyze the market structure correctly, we must first draw fractal structures and interpret them correctly. Because the market consists of fractal structures. Regardless of the technique, if we cannot draw fractals correctly or if we make an incorrect interpretation while determining them, our market structure analysis may also be incorrect.
Instead of manually identifying fractal structures, script writers often choose the following method for ease of use; They leave the number of candles to the user's choice, detect the highest and lowest points among x number of candles, and draw fractal structures accordingly, but in fact this is not an accurate detection method. In the visual I have prepared below, you can see how the correct fractal structures should be drawn. Fractal structures should be made based on the previous and next candle levels, not from a certain group of candles.
To identify market structures, we make an interpretation based on these fractal movements.
While classic market structure analysis with traditional price action follows a relatively simpler path as shown in the example below, this situation is a bit more detailed in the smart money concepts.
To explain the situation in the smart money concept in an easily understandable way, it is as follows; imagine an uptrend that progresses by creating levels HH and HL, when the price creates a new HL, we call this point as inducement and we move this level up as each new HL is formed. When drawing structures in this way, when the price falls below the inducement level, the peak is confirmed. To explain it with a different approach, the price must first get liquidity from these last rising bottoms in order to make a break of structure (BOS). The break of structure occurs when the price passes the approved peak. When BOS occurs, the lowest point between this point and the previous peak is defined as the Swing Low and this is the level that needs to be protected in uptrend. When BOS occurs, the last HL point that made this BOS is also defined as inducement and it continues to move as new HL is formed until the new peak is confirmed. If the price somehow "closes" below the Swing Low point that needs to be protected, CHOCH (change of character) has occurred and the trend direction has changed. After CHOCH, we start applying the same logic for the downtrend, the last LH peak formed after is defined as inducement and as the fractal structure continues downward, this level is also carried as the inducement level until the Swing Low level is determined. An important note is; In order for BOS and CHOCH to be valid, "a closing must definitely occur". If it remains in the form of a wick, we call it a liquidity sweep and the end point of this wick is updated as the point where we need to look for a closing in order to be able to say that the BOS or CHOCH level is determined. By the way, We call these liquidity sweep points as "x" in the indicator.
It may be easier to explain this topic with a few sample images that I have shared below.
The thing to consider in the smart money concept is that if you are going to take a long trade in an uptrend, you should wait for the price to fall below the inducement level or if you are going to take a short trade in a downtrend, you should wait for the price to rise above the inducement level and only then look for suitable structures, order flows, order blocks, price gaps and other structures before this are considered traps in this concept. I have some strategies that I personally apply, but since these are my personal preferences, I do not find it right to share them here in order not to affect your opinions, but I am basically careful to act as I stated above.
While preparing this script, we paid attention to the fact that it can be interpreted with a real human eye, provides ease at the speed of machine language and can work extremely flawlessly.
From the first moment we started preparing the script, we went through a long and seriously laborious preparation process that lasted months until now, which we happily share.
We brought this code to life by putting on the table almost everything the user may want in terms of both flawlessly fulfilling the conditions specified by the concept and convenience.
If we touch on the function of the code in order, our code finds the following;
It perfectly identifies the fractals that form the basis of the market structure, within the framework of the rules that I mentioned above, we taught to the script.
According to smart money concepts, as I explained in detail above, it provides great convenience in this regard by skillfully identifying the direction of the market in the time period you are in, rather than traditional methods.
In addition to identifying the direction of the market, it also detects the direction changes taking place in the internal structure. Indicator tries to detect even the slightest direction changes by making a stricter interpretation while determining the trend and bottom-top points in the internal structure. Theoretically, it determines the top point in a downward fractal breakout, and marks the bottom point in an upward fractal breakout.
In this context, it also uniquely identifies the candle flow direction and we can observe it on the table. I explained this issue in the first image about fractal determination, you can read that part again.
When you identify swing structures correctly, you will also determine the area you need to focus on, and we have also included this in the script.
Another one of our favorite features on the chart is that it can show active swing areas live by following the BOS, CHOCH and Inducement lines. So, I believe that this gives it a more professional appearance.
In the light of all these functions, it provides great ease of use while presenting data on the direction of the market in a table not only in the current time frame but also in 6 different time frames that the user can choose according to his/her preference, including seconds timeframes (1 sec., 5 sec., 15 sec., 30 sec. etc.)
In order to speed up the user, it instantly informs the selected parity and all structural changes (Bos, Choch, Inducement, Liquidity Sweeps etc.) that occur on the market structure of this timeframe by setting a single alarm.
In the settings window, you will find the following settings that we have personalized for you:
Main Options;
Fractal Lines box: You can check this box to see whether the fractals that form the basic interpretation structure of the indicator are visible or not.
Swing Lines box: You can use this box to turn on or off the Bos, Choch, Inducement and Liquidity Sweeps lines, which are the main elements of the market structure.
Internal Structures box: You can check this box to observe the H and L points in the internal structure of the graph and therefore the direction in the internal structure.
Live Bos / Choch / Inducement Lines box: You can turn on / off the visibility of the lines belonging to the current and active Bos, Choch and Inducement levels on the chart.
Range Lines box: You can use it to turn on / off the visibility of range lines drawn between the active Swing high and Swing low points on the chart.
Multitimeframe Tables box: It allows you to open and close the table where you can observe the main trend direction of the current parity on the screen, its internal structure and the candle flow direction in 6 different time frames.
Fractal Settings;
In this section, you can choose the colors, style and thickness of the fractal lines as you wish.
Swing Settings;
In this section you can choose the colors of the Swing High and Swing Low points, their shape and size.
Likewise, you can choose the colors, line style, thickness and text size of Bos and Choch lines for bullish and bearish situations.
There are also settings where you can choose the colors, style, line thickness and text size of the Liquidity Sweep and Inducement lines.
Internal Swing Settings;
In this section, you can determine the colors of the High and Low points detected in the internal structure and select the label size, style and thickness of the direction change lines.
Live BOS / CHOCH / IDM Lines;
In this section, you can select the colors, label sizes, line style and thickness of the bos, choch and inducement lines that show the important levels followed in the current status of the chart.
Range Settings;
As mentioned above, you can choose the color, style, thickness of the range lines drawn between the active swing high and swing low points and the size of the price tags of these levels.
Multitimeframe Table Settings;
In this section, there are settings boxes for 6 selectable timeframes, 9 different position alternatives where you can change the position of the table, and a section where you can find 2 different options to express the directions in the table. In addition to these, you will also be able to choose the background color of the table and the color of the text used to express the directions in the table.
We hope that this script will reach a wide audience by becoming a tool that will be used with pleasure and indispensable, while providing convenience to all users, as we have dreamed of and expected from the first moment we started writing it.
DISCLAIMER: No sharing, copying, reselling, modifying, or any other forms of use are authorized for the documents, script / strategy, and the information published with them. This informational planning script / strategy is strictly for individual use and educational purposes only. This is not financial or investment advice. Investments are always made at your own risk and are based on your personal judgement. We are not responsible for any losses you may incur. Please invest wisely.
Best regards and enjoy it.
Asian Range IndicatorIndicator Name:
Asian Range Indicator
Description:
This TradingView indicator is designed to accurately detect the price range during the Asian session, based on our trading strategy. This range is crucial for planning trades in the European and American sessions. Using advanced algorithms, the indicator automatically identifies and plots the highs and lows within the Asian session period, highlighting them on the chart with shaded areas for clear visualization. This helps traders anticipate breakouts and set more precise entry and exit levels.
How to Use the Indicator:
Add the indicator to your TradingView chart.
Observe the shaded areas representing the Asian range.
Use these levels to plan your trades during the European and American sessions.
Combine with other technical indicators to confirm your trading decisions.
Chart:
The chart published with this script is clean and easy to understand, clearly showing the Asian range highlighted with shaded areas. No other scripts are included, ensuring the indicator's output is easily identifiable. The shaded areas contribute to the visual understanding of the Asian range, helping traders effectively use the script.
Wave LineWave Line is a chart type obtained by plotting the High and Low values in each time interval according to their sequential order. This method produces a continuous line rather than bars, which is beneficial for analyzing changes within each interval rather than focusing on the price range and open/close values. E.g for Wave Analysis.
How to use:
1. Adjust the interval unit and multiplier for the main timeframe.
2. Ideally, select a lower timeframe on your chart, approximately 5 times smaller than the one specified for the script.
3. Lower Timeframe is the timeframe which will be the scripts reference when the high and low of the main timeframe align on a single bar of the opened chart. This timeframe may also be 5-10 times smaller than the main timeframe. It is important to note that this should not be excessively smaller as the script may fail in retrieving data. An alternative method is included to estimate the order if it is not clear in the fetched data.
4. Set a preferred value for Monowave Length, indicating the number of bars a monowave will cover horizontally. Set the value to be half of the Interval Multiplier for the Wave Line to align with the bar chart. However if the multiplier is an odd number, perfect alignment may not be achieved.
5. Ensure that the product of Max Polyline Segments and Monowave length does not exceed 5000, and adjust the value for Max Polyline Segments accordingly.
Optimal Buy Day (Zeiierman)█ Overview
The Optimal Buy Day (Zeiierman) indicator identifies optimal buying days based on historical price data, starting from a user-defined year. It simulates investing a fixed initial capital and making regular monthly contributions. The unique aspect of this indicator involves comparing systematic investment on specific days of the month against a randomized buying day each month, aiming to analyze which method might yield more shares or a better average price over time. By visualizing the potential outcomes of systematic versus randomized buying, traders can better understand the impact of market timing and how regular investments might accumulate over time.
These statistics are pivotal for traders and investors using the script to analyze historical performance and strategize future investments. By understanding which days offered more shares for their money or lower average prices, investors can tailor their buying strategies to potentially enhance returns.
█ Key Statistics
⚪ Shares
Definition: Represents the total number of shares acquired on a particular day of the month across the entire simulation period.
How It Works: The script calculates how many shares can be bought each day, given the available capital or monthly contribution. This calculation takes into account the day's opening price and accumulates the total shares bought on that day over the simulation period.
Interpretation: A higher number of shares indicates that the day consistently offered better buying opportunities, allowing the investor to acquire more shares for the same amount of money. This metric is crucial for understanding which days historically provided more value.
⚪ AVG Price
Definition: The average price paid per share on a particular day of the month, averaged over the simulation period.
How It Works: Each time shares are bought, the script calculates the average price per share, factoring in the new shares purchased at the current price. This average evolves over time as more shares are bought at varying prices.
Interpretation: The average price gives insight into the cost efficiency of buying shares on specific days. A lower average price suggests that buying on that day has historically led to better pricing, making it a potentially more attractive investment strategy.
⚪ Buys
Definition: The total number of transactions or buys executed on a particular day of the month throughout the simulation.
How It Works: This metric increments each time shares are bought on a specific day, providing a count of all buying actions taken.
Interpretation: The number of buys indicates the frequency of investment opportunities. A higher count could mean more consistent opportunities for investment, but it's important to consider this in conjunction with the average price and the total shares acquired to assess overall strategy effectiveness.
⚪ Most Shares
Definition: Identifies the day of the month on which the highest number of shares were bought, highlighting the specific day and the total shares acquired.
How It Works: After simulating purchases across all days of the month, the script identifies which day resulted in the highest total number of shares bought.
Interpretation: This metric points out the most opportune day for volume buying. It suggests that historically, this day provided conditions that allowed for maximizing the quantity of shares purchased, potentially due to lower prices or other factors.
⚪ Best Price
Definition: Highlights the day of the month that offered the lowest average price per share, indicating both the day and the price.
How It Works: The script calculates the average price per share for each day and identifies the day with the lowest average.
Interpretation: This metric is key for investors looking to minimize costs. The best price day suggests that historically, buying on this day led to acquiring shares at a more favorable average price, potentially maximizing long-term investment returns.
⚪ Randomized Shares
Definition: This metric represents the total number of shares acquired on a randomly selected day of the month, simulated across the entire period.
How It Works: At the beginning of each month within the simulation, the script selects a random day when the market is open and calculates how many shares can be purchased with the available capital or monthly contribution at that day's opening price. This process is repeated each month, and the total number of shares acquired through these random purchases is tallied.
Interpretation: Randomized shares offer a comparison point to systematic buying strategies. By comparing the total shares acquired through random selection against those bought on the best or worst days, investors can gauge the impact of timing and market fluctuations on their investment strategy. A higher total in randomized shares might indicate that over the long term, the specific days chosen for investment might matter less than consistent market participation. Conversely, if systematic strategies yield significantly more shares, it suggests that timing could indeed play a crucial role in maximizing investment returns.
⚪ Randomized Price
Definition: The average price paid per share for the shares acquired on the randomly selected days throughout the simulation period.
How It Works: Each time shares are bought on a randomly chosen day, the script calculates the average price paid for all shares bought through this randomized strategy. This average price is updated as the simulation progresses, reflecting the cost efficiency of random buying decisions.
Interpretation: The randomized price metric helps investors understand the cost implications of a non-systematic, random investment approach. Comparing this average price to those achieved through more deliberate, systematic strategies can reveal whether consistent investment timing strategies outperform random investment actions in terms of cost efficiency. A lower randomized price suggests that random buying might not necessarily result in higher costs, while a higher average price indicates that systematic strategies might provide better control over investment costs.
█ How to Use
Traders can use this tool to analyze historical data and simulate different investment strategies. By inputting their initial capital, regular contribution amount, and start year, they can visually assess which days might have been more advantageous for buying, based on historical price actions. This can inform future investment decisions, especially for those employing dollar-cost averaging strategies or looking to optimize entry points.
█ Settings
StartYear: This setting allows the user to specify the starting year for the investment simulation. Changing this value will either extend or shorten the period over which the simulation is run. If a user increases the value, the simulation begins later and covers a shorter historical period; decreasing the value starts the simulation earlier, encompassing a longer time frame.
Capital: Determines the initial amount of capital with which the simulation begins. Increasing this value simulates starting with more capital, which can affect the number of shares that can be initially bought. Decreasing this value simulates starting with less capital.
Contribution: Sets the monthly financial contribution added to the investment within the simulation. A higher contribution increases the investment each month and could lead to more shares being purchased over time. Lowering the contribution decreases the monthly investment amount.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
RSI Graphique and Dashboard MTFMTF RSI Indicator - User Guide
Introduction:
The MTF RSI (Multi-Timeframe Relative Strength Index) Pine Script is designed to provide traders with a comprehensive view of the RSI (Relative Strength Index) across multiple timeframes. The script includes a primary chart displaying RSI values and a dashboard summarizing RSI trends for different time intervals.
Installation:
Copy the provided Pine Script.
Open the TradingView platform.
Create a new script.
Paste the copied code into the script editor.
Save and apply the script to your chart.
Primary Chart:
The primary chart displays RSI values for the selected timeframe (5, 15, 60, 240, 1440 minutes).
different color lines represent RSI values for different timeframes.
Overbought and Oversold Levels:
Overbought levels (70) are marked in red, while oversold levels (30) are marked in blue for different timeframes.
Dashboard:
The dashboard is a quick reference for RSI trends across multiple timeframes.
Each row represents a timeframe with corresponding RSI trend information.
Arrows (▲ for bullish, ▼ for bearish) indicate the current RSI trend.
Arrow colors represent the trend: blue for bullish, red for bearish.
Settings:
Users can customize the RSI length, background color, and other parameters.
The background color of the dashboard can be adjusted for light or dark themes.
Interpretation:
Bullish Trend: ▲ arrow and blue color.
Bearish Trend: ▼ arrow and red color.
RSI values above 70 may indicate overbought conditions, while values below 30 may indicate oversold conditions.
Practical Tips:
Timeframe Selection: Consider the trend alignment across different timeframes for comprehensive market analysis.
Confirmation: Use additional indicators or technical analysis to confirm RSI signals.
Backtesting: Before applying in live trading, conduct thorough backtesting to evaluate the script's performance.
Adjustment: Modify settings according to your trading preferences and market conditions.
Disclaimer:
This script is a tool for technical analysis and should be used in conjunction with other indicators. It is not financial advice, and users should conduct their own research before making trading decisions. Adjust settings based on personal preferences and risk tolerance. Use the script responsibly and at your own risk.
No Wick Bull/Bear Candlesticks with Arrow premiumNo Wick Bull/Bear Candlesticks with Arrow premium
This script is for a custom trading indicator called "No Wick Bull/Bear Candlesticks with Arrow premium" developed by ClearTradingMind. It is designed for use with trading platforms that support scripting, such as TradingView. This indicator combines several technical analysis tools to help traders identify potential buy and sell signals in a financial market.
Key Components of the Indicator:
Moving Average (MA): The script allows users to select from various types of moving averages (SMA, EMA, HMA, etc.), which smooth out price data to identify trends. Users can set the length and type of the moving average.
Upper and Lower Bands: These bands are set at a specified deviation percentage above and below the chosen moving average. They help in identifying overbought and oversold conditions.
No Wick Bull/Bear Candlestick Identification:
Bullish Condition: A bullish candlestick is identified when the closing price is higher than the opening price, the low equals the open, and the close is above the moving average.
Bearish Condition: A bearish candlestick is identified when the closing price is lower than the opening price, the high equals the open, and the close is below the moving average.
No Wick: These conditions also imply that the candlesticks have no wicks, suggesting strong buying or selling pressure.
Arrows for Trading Signals:
No lower wick bull bar
No upper wick bear bar
When a bullish condition is met, a green upward-pointing triangle is plotted below the candlestick, indicating a potential buy signal.
When a bearish condition is met, a red downward-pointing triangle is plotted above the candlestick, indicating a potential sell signal.
EMA 20: An additional Exponential Moving Average with a length of 20 periods is plotted for further trend analysis.
Background Color Changes: The script changes the background color to blue if the EMA 20 is above the upper band, and to red if it is below the lower band, providing visual cues about the market trend.
How It Works:
Traders can input their preferences for the moving average type and length, source of the MA (like closing prices), and the deviation percentage for the bands.
The script then calculates the moving average, upper and lower bands, and checks for bullish or bearish candlestick conditions without wicks.
When such conditions are met, it plots arrows to suggest buy or sell signals.
The EMA 20 and background color changes offer additional trend information.
Usage:
This indicator is particularly useful in markets with clear trends. The no wick bull/bear candlesticks indicate strong buying or selling pressure, and the arrows provide clear visual signals for traders to consider entering or exiting positions. As with all trading indicators, it's recommended to use this tool in conjunction with other forms of analysis to confirm trading signals.
Sublime Trading | Trend Strength FilterWhat kind of traders/investors are we?
We are trend followers. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market.
Most have heard of long-term trend following. Few know how to execute the strategy.
Our scripts are designed specifically to identify and invest in long-term market trends.
What does this script do?
Identifying trends is at the heart of sound investing.
This script is colour coded to help identify long-term trends and environments where you will want to consider taking positions.
It is also designed to identify sideways/consolidating markets, environments where you will want to consider standing aside.
How is the trailing stoploss produced?
The script uses two sets of Bollinger Bands, one with setting Standard Deviation 1 and the other with Standard Deviation 2.
These settings help to create 3 zones - Buy, Sell and Stand Aside.
The bars will change colour according to which zone they are in.
The Buy zone is colour-coded green, and when a bull market or the start of a bull trend is in play. The green switches from light green to dark green as the asset’s price moves above the Buy zone.
This switch in colour serves as a warning that a reversal/pullback may occur next from bullish to bearish.
The Sell zone is colour-coded red and when a bear market or the start of a bear trend is in play. The red switches from light red to dark red as the asset’s price moves below the Sell zone.
This switch in colour serves as a warning that a reversal/pullback may occur next from bearish to bullish.
The Stand Aside is confirmed when the colour-code changes to grey. This may not necessarily mean a trend reversal but simply a time to apply patience before a trend continuation.
A sustained mixture of red, green and grey bars confirms a consolidation or sideways market and when investors/traders will want to stand aside and consider another asset.
What is the best timeframe to use the script?
Long-term trends are identified on the daily and weekly timeframes where traders and investors take fewer positions but hold for longer time periods.
We recommend using the script in unison on the weekly and daily timeframes.
When both timeframes fall into the Buy zone and colour-coded green, it signifies a strong bull market.
When both timeframes fall into the Sell zone and colour-coded red, it signifies a strong bear market.
When there is a mixture of green, red and grey bars across the two timeframes, it signifies a sideways market and when investors stand aside and protect their capital.
The weekly timeframe will also help mask the noise on the daily timeframe, allowing you to hold positions longer.
The Trailing Strength Filter script is for investors who want to identify and invest in long-term trends whilst simultaneously eliminating intraday swings.
What makes this script unique?
Identifying the start of long-term trends and then riding out established trends are among the main struggles budding investors face. This script has been coded specifically for the daily and weekly timeframe to:
Seamlessly identify the start, middle and end of trends
Align with the market and remove social media noise calling market tops and bottoms
Allow for discretion when entering but particularly exiting of positions if a market trend has not ended
This trend filter script ensures alignment with long-term market trends.
Sublime Trading | Trailing StoplossWhat kind of traders/investors are we?
We are trend followers. Our scripts are designed to be used on the higher timeframes (weekly/daily) to catch the large moves/trends in the market.
Most have heard of long-term trend following. Few know how to execute the strategy.
Our scripts are designed specifically to identify and invest in long-term market trends.
What does this script do?
The exit from a position is arguably more important than the entry.
Traders/Investors will regularly find themselves in an asset based on some logic, but the exit management is very much an afterthought.
Hence why traders often take profit too early and hold onto losing positions. It is emotionally driven.
The Trailing Stoploss script is designed to remove the guesswork and show you precise levels you will want to consider exiting a position when an asset reverses.
How is the trailing stoploss produced?
The script uses the formula ATR 15 x 4.
We use ATR as it produces a stoploss which is unique to the volatility of the asset. The more volatile the asset, the wider the stoploss.
We use ATR 15 as it brings an average reading across half a month, incorporating days of extreme volatility.
The multiplier 4 works well to avoid positions being stopped out prematurely on pullbacks.
When the trailing stoploss is hit, this is where you will want to consider taking profit.
What is the best timeframe to use the script?
We recommend the daily timeframe as this is where trend followers enter assets to maximise the potential of long-term trends.
The higher timeframes are where traders and investors take fewer positions and hold for longer time periods.
The trailing stoploss follows the price of the asset a distance away to give the trend structure enough space and time to develop.
A trend is ultimately a function of time. If you eliminate time, you eliminate the trend. If you eliminate the trend, you eliminate profit.
The Trailing Stoploss script is necessary for investors who appreciate that profit is accumulated by letting winning positions run and not taking profit too early.
What makes this script unique?
Exit management and knowing when to let go of an asset is one of the main struggles budding investors face. This script has been coded specifically for the daily timeframe to:
Create a trailing stoploss that is unique to the volatility of the asset.
Allow investors to stay in positions for the duration of the trend over many months.
To distinguish between a pullback and a market reversal, allowing for discretion.
This TSL script is designed to manage positions investors take in line with long-term market trends.
Liquidation Ranges + Volume/OI Dots [Kioseff Trading]Hello!
Introducing a multi-faceted indicator "Liquidation Ranges + Volume Dots" - this indicator replicates the volume dot tools found on various charting platforms and populates a liquidation range on crypto assets!
Features
Volume/OI dots populated according to user settings
Size of volume/OI dots corresponds to degree of abnormality
Naked level volume dots
Fixed range capabilities for volume/OI dots
Visible time range capabilities for volume/OI dots
Lower timeframe data used to discover iceberg orders (estimated using 1-minute data)
S/R lines drawn at high volume/OI areas
Liquidation ranges for crypto assets (10x - 100x)
Liquidation ranges are calculated using a popular crypto exchange's method
# of violations of liquidation ranges are recorded and presented in table
Pertinent high volume/OI price areas are recorded and presented in table
Personalized coloring for volume/OI dots
Net shorts / net long for the price range recorded
Lines shows reflecting net short & net long increases/decreases
Configurable volume/OI heatmap (displayed between liquidation ranges)
And some more (:
Liquidation Range
The liquidation range component of the indicator uses a popular crypto exchange's calculation (for liquidation ranges) to populate the chart for where 10x - 100x leverage orders are stopped out.
The image above depicts features corresponding to net shorts and net longs.
The image above shows features corresponding to liquidation zones for the underlying coin.
The image above shows the option to display volume/oi delta at the time the corresponding grid was traded at.
The image above shows an instance of using the "fixed range" feature for the script.
*The average price of the range is calculated to project liquidation zones.
*Heatmap is calculated using OI (or volume) delta.
Huge thank you to Pine Wizard @DonovanWall for his range filter code!
Price ranges are automatically detected using his calculation (:
Volume / OI Dots
Similar to other charting platforms, the volume/OI dots component of the indicator distinguishes "abnormal" changes in volume/OI; the detected price area is subsequently identified on the chart.
The detection method uses percent rank and calculates on the last bar of the chart. The "agelessness" of detection is contingent on user settings.
The image above shows volume dots in action; the size of each volume dot corresponds to the amount of volume at the price area.
Smaller dots = lower volume
Larger dots = higher volume
The image above exemplifies the highest aggression setting for volume/OI dot detection.
The table oriented top-right shows the highest volume areas (discovered on the 1-minute chart) for the calculated period.
The open interest change and corresponding price level are also shown. Results are listed in descending order but can also be listed in order of occurrence (most relevant).
Additionally, you can use the visible time range feature to detect volume dots.
The feature shows and explains how the visible range feature works. You select how many levels you want to detect and the script will detect the selected number of levels.
For instance, if I select to show 20 levels, the script will find the 20 highest volume/OI change price areas and distinguish them.
The image above shows a narrower price range.
The image above shows the same price range; however, the script is detecting the highest OI change price areas instead of volume.
* You can also set a fixed range with this feature
* Naked levels can be used
Additionally, you can select for the script to show only the highest volume/ OI change price area for each bar. When active, the script will successively identify the highest volume / OI change price area for the most recent bars.
Naked Levels
The image above shows and explains how naked levels can be detected when using the script.
And that's pretty much it!
Of course, there're a few more features you can check out when you use the script that haven't been explained here (:
Thank you again to @DonovanWall
Thank you to @Trendoscope for his binary insertion sort library (:
Thank you to @PineCoders for their time library
Thank you for checking this out!
Harmonic ScannerThe concept of harmonic patterns was introduced in H.M. Gartley's book "Profits in the Stock Market" around 1935. Gartley formation was based on XABCD framework with particular values from Fibonacci values set. With only XABCD frame and Fibonacci values we have over 4 000 atomic combinations. Gartley formation is composed from two atomic combinations. Since then, numerous other combinations have been proposed and can be found on various internet sources. Our objective is not only to utilize known combinations, but also to develop a methodology for identifying combinations that best fit the price changes of a particular financial instrument.
The Harmonic Scanner searches for popular harmonic patterns on a chart and tracks them using typical take profit and stop loss values. The script calculates ideal efficiency by entering a position at the D point and exiting either on the stop loss or at the highest take profit value.
Furthermore, you can enable the "relaxed formations" feature to search for generalized variants of the patterns.
This script can be used by any user. There is no need to have a PRO or PREMIUM account.
Harmonic Scanner is just one component of larger "Harmonic" package, which is designed to simplify the use of the ideas proposed by Gartley and to customize them for various financial instruments.
The Harmonic package includes:
⠀⠀Harmonic Scanner - A classic harmonic patterns detector that checks efficiency by entering in D point and trading move to the take profit value.
⠀⠀Harmonic Predictor - A harmonic pattern detector that checks efficiency by entering at the C point and trading the move to the D point.
⠀⠀Harmonic Scanner TakeProfitMap - A supporting script for scanner, that tracks highest potencial profits from historical transactions to better determine the appropriate take profit values for a given financial instrument.
⠀⠀More components is under developement...
If you prefer a video explanation, please refer to the "HowTo: Harmonic Idea" video.
Script with limited access, contact author to get authorization
Script settings:
Extreme area - Specifies the range in which low/high need to be the lowest/highest bar to be counted as XABCD point.
XA limit - Specifies the maximum distance between successive points in XABCD formation pattern.
Inaccuracy ‰ - It determines the maximum deviation from the conditions that must be met by the pattern. Larger value will produce more duplicates.
Relaxed formations - Formations marked with * will be relaxed on CBD retracement.
Eliminate duplicates - Eliminates formation duplicates. We can precise the maximum deviation of results that are threaded as the same (duplicates).
Verify Predictor - Special mode what can be used to verify results from the Harmonic Predictor script.
List of formations, each letter enables specific formation.
Visualization section with independent settings for the folowing groups:
- Estimated formations ( high or low are still unconfirmed but their confirmation will add new formations),
- Positions (formations tracked for statistics)
- Traded (xlosed positions, either on take profit or stop loss)
For each group of formations following settings can be customized:
- Color used for drawing formation shape
- Checkbox for enabling/disabling shape visualization
- Checkbox for enabling/disabling target visualization
- Picker for selecting the label type
⠀⠀- h(ide)
⠀⠀- s - Labels with small font
⠀⠀- S - Labels with normal font
ShapeBox - Displays a box over formations with the formation name (useful for identifying specific formations).
Color settings - Customize the color of filled and unfilled targets.
Transparency settings - Adjust the transparency of formation shapes and targets.
Statistics - Picker for statistics table type:
H(ide) - Hides the statistics table.
P(ositions) - Shows a list of positions with their corresponding stop loss and take profit values. Take profit values that have been reached are highlighted.
% - Displays the efficiency of formations, split by take profit values.
%W - Displays the efficiency of formations, split by take profit values and weighted by formation size.
Position filter - A filter that works with the P(ositions) statistics.
Troubleshooting:
In case of any problems, please send error details to the author of the script.
BE - Pr_DayLowHigh_BreakoutScreener AlgoHerewith presenting the Screener based indicator which supports Algo trade on the NSE stocks. The idea behind this indicator is when the Current day stock breaks out of Yesterday's high or Low with promising volumes (Using MA's and POC of Volume Profile) along with formation of candle Pattern. Initiates the Trade entries.
Note: Indicator is designed to take an entry even before the candle is closed as soon as the entry level is crossed and it shall exit the trade as soon as the SL is hit even before candle is close.
How to Work with this Indicator.
You can map up to 15 Scripts in this indicator. However you may decide if you wish to load all 15 are few of them. if you wish to load only 10, below settings should help you ignore the rest 10 symbols from screening it for setups
Updating Symbol Script.
This is an important part is used for Algo trades. Read the tooltip for better understanding of the format. Acceptable format is Broker Name followed with : and space with Symbol mapping Name followed with / and Instrument token provided by broker if no token alloted for the script then you may keep 0 against symbol name followed with / and Qty in terms of absolute value or in terms of percentage.
Trade and Scan Settings
Symbol List Mapping
For Improvements in Results - Use Events and keep a track of it / use Nudges etc.
Liquidation Levels - By LeviathanThis indicator generates liquidation levels of over-leveraged traders and utilizes a variety of different tools to analyze data such as Open Interest and Volume to provide an edge in your trading system and help you with valuable market insights.
The concept of this indicator is inspired by the platform Hyblock and their Liquidation Levels tool.
The script offers a lot of flexibility in settings, so please read these instructions and test out different parameters to see what works best for you. Here is a short overview of all inputs, one by one.
PRIMARY SOURCE OF DATA
This input allows you to choose the primary source of data that the script uses to calculate liquidation levels. I encourage you to test them all and see which works best for the assets and timeframes you trade. You can also regularly switch between to see confluences.
My personal favorite inputs (and also most accurate ones) are Open Interest, Open Interest + Volume (OI+VOL), and Open Interest + CVD (OI+CVD), as they utilize Open Interest in the calculations, which is the most important factor when it comes to analyzing position opening/closing and market activity in general. The other options that do not include Open Interest (Volume, CVD) were mainly added to provide the possibility to use the indicator on pairs where OI data is not available. Please note that this indicator is built on Tradingview and can only use data (e.g., Open Interest) provided by Tradingview, which is unfortunately quite limited. This is why I recommend using the script with OI-based data source inputs on Binance's perpetual futures pairs, as this is where OI data is available. The volume-based data source inputs can be used on spot pairs, forex, indices, and other markets, where Open Interest data is not provided.
To summarize the use of Primary Source of Data input:
1. Open Interest - use on Binance’s perpetual futures or anywhere else where OI data is available
2. OI + VOL - use on Binance’s perpetual futures or anywhere else where OI data is available
3. OI + CVD - use on Binance’s perpetual futures or anywhere else where OI data is available
4. CVD - use on any pair you wish
5. Volume - use on any pair you wish
DIRECTIONAL BIAS
If turned on, the Directional bias function uses volume and some other calculations to predict which side’s liquidation levels are more likely to be filled and only keep those levels on your chart.
- Directional Bias for Liquidation Levels
Turned ON: only one side’s liquidation levels are shown on the chart
Turned OFF: all liquidation levels are shown on the chart
- Directional Bias for Liquidation Level Bubbles
Turned ON: only one side’s liquidation level bubbles are shown on the chart
Turned OFF: all liquidation level bubbles are shown on the chart
I've separated directional bias options between Liquidation Levels and Liquidation Level Bubbles because sometimes it can be useful to have one of them ON and the other one OFF.
REDUCE SENSITIVITY
The Reduce Sensitivity option allows you to multiply the thresholds for "Smaller Size Liquidation," "Medium Size Liquidation," and "Large Size Liquidation" simultaneously. This is a useful feature as it enables you to easily filter larger positions and their liquidations without having to manually alter the standard deviation multipliers, which will be discussed in further detail later in the article.
The default value is 1, which means that it does nothing.
Increasing it above 1 will increase all thresholds and therefore generate fewer liquidation levels but with larger relative sizes.
Decreasing it below 1 will lower all thresholds and therefore generate more liquidation levels but with both smaller and larger relative sizes.
BASE
This input gives you the possibility to choose between four different bases, from which the liquidation levels will be generated.
CLOSE ⇒ Levels are plotted above and below the close of the candle
HALF ⇒ Levels are plotted above and below the middle of the candle ((high+low)/2)
VWAP ⇒ Levels are plotted above and below the volume-weighted average price
VWMA ⇒ Levels are plotted above and below the volume-weighted moving average
I suggest that you backtest them and see what works best for you.
LIQUIDATION LEVEL BUBBLES
If enabled, "Liquidation Level Bubbles" mark the beginning of a new liquidation level and indicate the relative size of liquidations that would occur if the price were to reach that level.
Liquidation Bubbles or Liquidation Levels in general appear when there is a large influx of new positions and logically, (significant) new positions lead to (significant) new liquidation levels. Liquidation Bubbles can be used to estimate the size and therefore significance of a given liquidation level. It could be argued that the price is more likely to be attracted to larger Liquidation Level Bubbles. While this is often true, it is not always the case as the strong momentum created by large positions can sustain for a prolonged period before reversing and filling the remaining levels Similarly to other features in this indicator, significant new positions are identified and filtered using standard deviation thresholds and their multipliers. New positions are considered significant when newly opened positions exceed the threshold for "Smaller Size Liquidation," leading to the creation of new liquidation levels and bubbles.
1. If new positions exceed the first standard deviation multiplier ("Smaller Size Liquidation Level"), but do not exceed “Medium Size Liquidation Level”, a smaller-sized bubble appears.
2. If new positions exceed the second standard deviation multiplier (”Medium Size Liquidation Level”), but do not exceed “Large Size Liquidation Level”, a medium-sized bubble appears.
3. If new positions surpass the third standard deviation multiplier (”Large Size Liquidation Level”), a large-sized bubble appears.
Significant opened positions are identified and filtered by size using three "thresholds" in the form of standard deviations, which can be modified in the indicator settings, in the section called "Standard Deviation Multipliers".
**Increasing** the standard deviation multipliers of Liquidation Level Bubbles effectively increases the threshold for a given bubble to occur, making the conditions for its appearance stricter.
⇒ Fewer Liquidation Levels - just larger positions are included
**Decreasing** the standard deviation multipliers of Liquidation Level Bubbles effectively decreases the threshold for a given bubble to occur, making the conditions for its appearance looser.
⇒ More Liquidation Levels - smaller positions are included
Keep in mind that this should always be the case:
*Smaller Size Liquidation Level < Medium Size Liquidation Level < Large Size Liquidation Level*
MARKET ORDER BUBBLES
"Market Order Bubbles" is my experimental concept used as a way to analyze large volumes and visualize the market activity at significant levels under certain conditions. It is based on my imitation of CVD which is also used in other parts of the script. The aim of this concept is to give you an idea about the real-time heavy market buying and selling, which could indicate eg. large liquidations, large entries/exits. in order to add confluence to your analysis. Please note that this concept is still in its early stages and may be confusing as it might have been poorly implemented. I recommend taking the time to thoroughly read through this section in order to fully understand it. On the other hand, early backtesting results appear very promising, as the win rate of countertrading buy and sell bubbles under certain conditions was fairly high (70%). I will continue working on this tool, so stay tuned for future updates.
**Market Buy Order Bubbles** appear above the price and possibly signal the following:
- Short positions being liquidated (exit short = buy order)
- New traders entering late longs based on FOMO (enter long = buy order)
- New short positions (sells) of “smarter” traders absorbing liquidated/closed shorts (buys)
⇒ Possible reversal to the downside - look for the liquidation levels of longs to get filled
**Market Sell Order Bubbles** appear below the price and possibly signal the following:
- Long positions being liquidated (exit long = sell order)
- New traders entering late shorts based on FOMO (enter short = sell order)
- New long positions (buys) of “smarter” traders absorbing liquidated/closed longs (sells)
⇒ Possible reversal to the upside - look for the liquidation levels of shorts to get filled
significant volumes are identified and filtered using three “thresholds” in the form of standard deviations, which can be modified in indicator settings.
1. If buy/sell volume surpasses the first standard deviation (”**Smaller Size Market Orders**”), then the **smaller-sized bubble** appears.
2. If buy/sell volume surpasses the second standard deviation (”**Medium Size Market Orders**”), then the **medium-sized bubble** appears.
3. If buy/sell volume surpasses the third standard deviation (”**Large Size Market Orders**”), then the **large-sized bubble** appears.
**Increasing** the standard deviation multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
**Decreasing** the standard deviation multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence more strict.
Keep in mind that this should always be the case:
*Smaller Size Market Orders < Medium Size Market Orders < Large Size Market Orders*
COLOR CANDLES
The Color Candles function is a useful and interesting feature that will enhance your analysis with additional context. If enabled, the indicator will color the chart's candles based on different data. Currently, there are three options to choose from, with more to be added in future updates.
Color Candles: OI DELTA
This option will color the candles to reflect Open Interest Delta. If there is a net increase in open positions (positive Open Interest Delta), the candle will be colored green. If there is a net decrease in open positions (negative Open Interest Delta), the candle will be colored red. It is important to note that this option only functions on pairs for which Tradingview provides OI data
Color Candles: VOLUME
This option utilizes volume data to help you identify the trend and momentum, coloring the candles accordingly - upward impulses are colored green and downward impulses are colored red. This makes it easier to recognize trend reversals and adjust your directional bias accordingly.
Color Candles: STOCH
This option uses the Stochastic Oscillator and SMA to color the candles, helping you identify momentum as upward green moves transition to downward red moves and vice versa.
LEVERAGE RATIO
Leverage ratio is another experimental concept I have added to this script. If turned on, it provides a broad insight into whether the market is relatively over-leveraged or if the leverage is relatively low. The aim is to use it as a confluence in anticipating incoming volatility and possibly use it to understand other aspects of market activity. It is still in its early stages of development and needless to say, it only works on pairs where Open Interest data is provided by Tradingview.
Crosses above price = Leverage is relatively high
Crosses below price = Leverage is relatively low
MARKET INFO SCREENER, LEVEL LEGEND, HIDE FILLED LINES
The last three inputs of Basic Settings section:
”The Market Info Screener” feature will display a small panel on the right side of your chart that provides useful data about the market, including Open Interest, Volume, the aggressive side of traders, and the Leverage Ratio. More data coming in future updates.
"Level Legend" option will display a small legend on the right side of the chart, helping you or others viewing the chart to understand what the objects on the chart mean.
"Hide Filled Lines" option will hide liquidation levels that have already been filled, only displaying the active ones in order to reduce clutter on your chart.
APPEARANCE
The “Appearance” settings offer a variety of modifications for colors, styles, and visibility.
The "Line Style" input allows you to choose the style and width of the liquidation level lines. You can also select which levels to display, as well as the color of the liquidation level lines and bubbles. The "Max Number of Lines" input allows you to specify the number of level lines you want on a chart. If you feel that there is too much clutter, you can decrease this number, and old lines will be removed. Please note that Tradingview has a built-in limit of 500 lines on a given chart, so this value cannot be set above 500. The "Market Buy/Sell Bubble Style" input can be used to modify the color and style of the market order bubbles. Enabling the "Show Settings Screener" option will display a screener with a list of all your settings on the right side of the chart, making it easier to share your preferred settings with others."
STANDARD DEVIATION MULTIPLIERS
This is where you can set the standard deviation thresholds for Liquidation Levels and Market Order Bubbles. These values can be customized to your preference, as the default values may not be suitable for your needs or you may want to experiment with different values to see more or fewer liquidation levels or market order bubbles on your chart. Personally, I sometimes use this feature to increase the Large Size Market Orders or Large Size Liquidation Levels multipliers so that large-sized bubbles are only assigned to extremely large positions or volumes.
If you want to only analyze larger positions or volumes, you can increase the "Smaller Size" multipliers, which act as a minimum threshold.
If you also want to include even smaller positions or volumes in your analysis, you can decrease the values of the "Smaller Size" multipliers, which act as a minimum threshold
Please note that the "Reduce Sensitivity" option in Basic Settings affects the standard deviation multipliers of the liquidation levels. Changing the "Reduce Sensitivity" value will equally multiply all of them (the ratio between Smaller, Medium, and Large multiplier values will remain the same)
STANDARD DEVIATION LENGTH
"Standard Deviation Length" defines the length (number of bars) used in all calculations that utilize the standard deviation function in this script. Decreasing it will generate Liquidation Levels and Liquidation Bubbles based more on recent data. Increasing it will generate Liquidation Levels and Liquidation Bubbles based on more long-term data.
CVD LENGTH
"CVD Length" refers to the length used in calculating cumulative volumes. Decreasing it will generate Liquidation Levels, Market Order Bubbles, and apply Directional bias based more on recent data. Increasing it will generate those based on more long-term data."
LEVEL CALCULATION MODES
“Level Calculation Modes” enable you to switch between three modes of calculating the distance between the base and actual liquidation levels.
COPYRIGHT
"Copyright" option will add your username to the copyright section at the bottom of the chart, giving you credit for your analysis if you post it somewhere.
EMA + Supertrend with BUY a SELL signals by @zeusbottradingwe are presenting you new indicator with opensource script,
this indicator uses 3x EMAs and 2 supertrends. Supertrends generate SELL or BUY labels when they are both red or green, meaning uptrend or downtrend. Main idea behind this indicator is filtering supertrend labels by 3 EMAs (filter>All EMAs Aligned) or just 1 EMA 200 Only. EMA (Esxponential Moving Average) measures trend direction over a period of time . EMA should follow price section more closely than others moving averages. In the script is defaulty set EMA1 to calculet on 21 previouse candles which is good for calculating fast moving trends. EMA2 is defaulty set on 50 previouse candles which is use for medium moving trends. End lastly EMA3 is defaulty set on 200 candles to calculate long period moving trend.
You can setup sources of all EMAs and Supertrend values including ATR period and multiplier.
We also included Bearish and Bullish Engulfing candles for more precise entries. Bearish and Bullish Engulfing candels are marked by little triangle. Bearish candles means red candles, Bullish candles means green candles. Engulfing candles should be bigger than previouse candle. Engulfing candles used to indicate a market reversal
Buy signal is shown when close is between ATRs and close price of the candle is bigger than EMA3 when its used in Filter section 200 EMA Only . If in Filter section is choosed ALL EMAs Aligned Buy signal is shown when close is between ATRs and close price of the candle is bigger than EMA1 , EMA1 is bigger than EMA2 and EMA2 is bigger than EMA3 .
Sell signal is shown when close is between ATRs and close price of the candle is lower than EMA3 when its used in Filter section 200 EMA Only . If in Filter section is choosedALL EMAs Aligned Sell signal is shown when close is between ATRs and close price of the candle is lower than EMA1, EMA1 is lower than EMA2 and EMA2 is lower than EMA3 .
ATR (Average True Range) it is trading system that measures market volatility by decomposing the entire range of an asset price for choosen period.
You can use this indicator on any timeframe and any instrument.
Made with ❤️ for this community.
If you have any questions or suggestions, let us know.
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold zeusbottrading TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script.
Multi PivotsThis script is meant for day traders. It's based on the CPR concepts. The pivots plots based on the timeframe, means less that 15minuts it will plot daily pivots, less that daily tf, it plots weekly and then monthly. It also includes Camarillas, ADR levels, Fibonacci levels based on last 500 candles, Fib pivots, Pivot zones, developing pivot, Vwap, Dashboard shows RSI,ADX,Vwap,SuperTrend and day price difference. Options available to plot Day HighLow, Initial Balance levels as well. There is option to show running CPR which highlights virgin CPR. It can plot next day pivots as well
I dont own any of codes or ideas in the script. Codes are taken from different scripts and altered based on the requirements. Kudos to all the great pinecoders who provided their codes as public which helps everyone. Thanks
Short PositionThis is a “twin” indicator to the “Long Position” indicator. Both of these indicators share very similar scripting elements, purpose, and calculation logic. Mathematical principles are basically flipped 180° if you were to compare them, although things can be very complex in the coding world.
These indicators are intended to be used separately or in conjunction with each other. The reason they’re separated into two publications is mostly to avoid confusion when navigating through the settings. Settings are also “color-coated” with default colors and we do not think that too much green belongs in the “Short Position” indicator. Also, we believe that if someone wants to sell, they shouldn’t have to think about buying and vice versa.
“How to use” & script information
Upon execution of this script, you will be asked to click on the chart’s timeline. The position will then lock onto the candlesticks in that area and automatically (according to this script’s algorithm) calculate a “reasonable” leverage , as well as stop-loss, targets , and more.
These calculated levels are based on previous volatility for that specific chart and timeframe. Volatility is determined by different elements defined in this script (closed-source). In short, the script’s volatility-based algorithms looks at previous price action and then applies a very precise logic to it.
Now the user has a starting point and can determine if the indicator did a good job or if they want to input their own values. Below are some available functions that also can be enabled in the settings.
Focus-assist: Volatility and position-based signal during strong movements relative to previous volatility.
Dynamic-target: Volatility and position-based target that closes the position when strong movements are identified.
To keep this description short, we will stop here.
Summary
With this indicator, it’s possible to set up “fake” positions and practice or “play” with buying and selling with leverage. You can look at past performance and thereafter use it from day to day and see if you can make the right decisions in the right moments. You can also “invent” your own use cases or maybe you just want to visualize leverage.
Long PositionThis is a “twin” indicator to the “Short Position” indicator. Both of these indicators share very similar scripting elements, purpose, and calculation logic. Mathematical principles are basically flipped 180° if you were to compare them, although things can be very complex in the coding world.
These indicators are intended to be used separately or in conjunction with each other. The reason they’re separated into two publications is mostly to avoid confusion when navigating through the settings. Settings are also “color-coated” with default colors and we do not think that too much red belongs in the “Long Position” indicator. Also, we believe that if someone wants to buy, they shouldn’t have to think about selling and vice versa.
“How to use” & script information
Upon execution of this script, you will be asked to click on the chart’s timeline. The position will then lock onto the candlesticks in that area and automatically (according to this script’s algorithm) calculate a “reasonable” leverage , as well as stop-loss, targets , and more.
These calculated levels are based on previous volatility for that specific chart and timeframe. Volatility is determined by different elements defined in this script (closed-source). In short, the script’s volatility-based algorithms looks at previous price action and then applies a very precise logic to it.
Now the user has a starting point and can determine if the indicator did a good job or if they want to input their own values. Below are some available functions that also can be enabled in the settings.
Focus-assist: Volatility and position-based signal during strong movements relative to previous volatility.
Dynamic-target: Volatility and position-based target that closes the position when strong movements are identified.
To keep this description short, we will stop here.
Summary
With this indicator, it’s possible to set up “fake” positions and practice or “play” with buying and selling with leverage. You can look at past performance and thereafter use it from day to day and see if you can make the right decisions in the right moments. You can also “invent” your own use cases or maybe you just want to visualize leverage.
DMI StrategyThis strategy is based on DMI indicator. It helps me to identify base or top of the script. I mostly use this script to trade in Nifty bank options, even when the signal comes in nifty . It can be used to trade in other scripts as well. Pivot points can also be used to take entry. Long entry is taken when DI+(11) goes below 10 and DI-(11) goes above 40 , whereas short entry is taken when DI-(11) goes below 10 and DI+(11) goes above 40.
For bank nifty , I take the trade in the strike price for which the current premium is nearby 300, with the SL of 20%. If premium goes below 10% I buy one more lot to average, but exit if the premium goes below 20% of the first entry. If the trade moves in the correct direction, we need to start trailing our stoploss or exit at the pre-defined target.
As this a strategy, there is one problem. While we are in the phase of "long", if again the "long" phase comes, it will not be shown on chart until a "short" phase has come, and vice versa. This has been resolved by creating an indicator instead of strategy with the name of "DMI Buy-sell on chart". Please go through that to get more entry points.
Please have a look at strategy tester to back test
3LS | 3 Line Strike Strategy [Kintsugi Trading]What is the 3LS | 3 Line Strike Strategy?
Incorporating the 3 Line Strike candlestick pattern into our strategy was inspired by Arty at The Moving Average and the amazing traders at TheTrdFloor .
The Three Line Strike is a trend continuation candlestick pattern consisting of four candles. Depending on their heights and collocation, a bullish or a bearish trend continuation can be predicted.
In a symphony of trend analysis, price action, and volume we can find and place high-probability trades with the 3LS Strategy.
How to use it!
----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio -----
- Stop-Loss Strategy
Fixed PIP Size – This uses the top/bottom of the indicator candle and places a TP based on the chosen Risk:Reward ratio.
ATR Trail (No set Target Profit, only uses ATR Stop)
ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs)
**If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at**
**ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section**
- Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50.
- Additional Stop PIP Size = Number of PIPs over the default stop location of the top or bottom of the indicator candle.
----- Next, we set the Session Filter -----
Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00.
----- Next, we set the Moving Average Cloud Fill -----
Enter the Fast and Slow Moving Average Length used to calculate trend direction:
MA Period Fast
MA Period Slow
These inputs will determine whether the strategy looks for Long or Short positions.
----- Next, we set the VSA – Volume Spread Analysis Settings -----
Check the box to show the indicator at the bottom of the chart if desired.
This is just a different visual output of the VSA | Volume Spread Analysis indicator available for free under the community indicators tab. You can add that indicator to your chart and see the same output in candle format.
In combination with the Moving Average Cloud, the Volume Spread Analysis will help us determine when to take a trade and in what direction.
The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend.
The 3LS Strategy utilizes confirmation between trend, volume, and price action to place high probability trades.
The VSA is completely customizable by:
Moving Average Length
MA-1 Multiplier
MA-2 Multiplier
MA-3 Multiplier
Check out the VSA | Volume Spread Analysis indicator in the community scripts section under the indicators tab to use this awesome resource on other strategies.
----- Next, we have the option to view the automated KT Bull/Bear Signals -----
Check the boxes to show the buy-sell signal on the chart if desired.
----- Next, we set the risk we want to use if Auto Trading the strategy -----
I always suggest using no more than 1-3% of your total account balance per trade. Remember, if you have multiple strategies triggering per day with each using 1%, the total percent at risk will be much larger.
For Example – if you have 10 strategies each risking 1% your total risk is 10% of your account, not 1%! Be mindful to only use 1-3% of your total account balance across all strategies, not just each individual one.
----- Finally, we backtest our ideas -----
After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading!
This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me.
Auto-Trading
When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView.
*Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.*
AutoView
PineConnector
**ATR Auto-Trading Alert Setup**
How to create alerts on 3 Line Strike Strategy
For Trailing Stops:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "Order Fills Only" from the drop-down
3) Remove template message text from "message" box and place the exact text. '{{strategy.order.alert_message}}'
4) Click "create"
For Fixed Pip Stop:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "alert() function calls only"
5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track
Good luck with your trading!
DMI StrategyThis strategy is based on DMI indicator. It helps me to identify base or top of the script. I mostly use this script to trade in Nifty bank options, even when the signal comes in nifty. It can be used to trade in other scripts as well. Pivot points can also be used to take entry. Long entry is taken when DI+(11) goes below 10 and DI-(11) goes above 40, whereas short entry is taken when DI-(11) goes below 10 and DI+(11) goes above 40.
For bank nifty, I take the trade in the strike price for which the current premium is nearby 300, with the SL of 20%. If premium goes below 10% I buy one more lot to average, but exit if the premium goes below 20% of the first entry. If the trade moves in the correct direction, we need to start trailing our stoploss or exit at the pre-defined target.
Please have a look at strategy tester to back test.
Bitcoin Risk Long Term indicatorOBJECTIVE:
The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision.
Useful for those who want to see things simply, typically to make a smart DCA based on risk.
I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it.
USAGE:
The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config)
Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version.
NOTES :
If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated!
In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe)
THANKS:
to Benjamin Cowen for inspiring me with his Bitcoin Risk metric
to Lazybear for his Wavetrend Indicator and all the scripts he shares
to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script
to VuManChu for his VMC Cypher B Divergence
to the Trading view team for developing TV and PineScript
And to all the community for all the published codes that allowed me to progress and create this script
---- FR ----
OBJECTIF :
L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme.
Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque.
À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager.
UTILISATION :
Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente)
La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale.
NOTES :
Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié !
à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe)
REMERCIEMENT :
à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric
à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage
à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones
à VuManChu pour son VMC Cypher B Divergence
à l'équipe Trading view pour avoir développé TV et PineScript
Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
WavesTrend visualization tool in Wave theory. Unlike Elliot waves, it has a constant pattern length. The formation consists of impulse and 3 corrections.
The script analyzes candle relationships in the currect trend, trend will be continueted until candle are not breaking trend rules.
Currently it supports 2 rulesets/wave variants:
Low - More sensitive (trend will change more ofter).
Meddium - Less sensitive ( trend will change less ofter).
Simultaneous observation of both types allows to detect consolidation before the overlapping movement and increase the probability of indicating the moment of the movement occurrence.
Trend visualization tools is a starting point that can be conected with different technics, to achive better performance.
"Waves" is the primary script of the Waves script series with test free period that consists of:
- Waves + XABCD
- Waves + ZOOnes
- Waves Change Signals
- ... and more in developement.
Features:
- Show Low and Middle type/order waves
- Draw both Wave types at once.
- Shadow mode that show second wave moved to the wave max/min bars.
- "Alfred" assist - Label notifications about trend confirmations or changes.
Script settings:
Trend visualization
Type - Trend visualization types:
H - Hidden
L - Low
M - Medium
B - Both
Alfred - AI assistant that informs about wave confirmation or trend changes (With "Both" type Alfred will monit only Medium wave).
Shadow - Showing second reprezentation of the trend with drawing with the use of minimal and maximal values. It's usefull to determine the delay between the peak and a wave change signal.
Low/Med Line width/color - Width/color of drawn line. Separate setting for Low and Medium trend type.
Impuls visualization
Impuls - Drawing impuls modes:
H - Hidden
F - First
S - Second
A - Auto
Impuls color - Color of the first bullish arrow.
Draw arrow - Drawing arrow at the end of the first bullish arrow.
Extensions
Waves + XABCD - Showing base information about Waves + XABCD script
Waves + ZOOnes - Showing base information about Waves + ZOOnes script
Waves Change Signals - Showing based information about Waves Change Signals script.
more in developement...
Troubleshooting:
In case of any problems, send error details to the author of the script.
Trend Analysis Index [CC]The Trend Analysis Index was created by Adam White and not to be confused with the Trend Analysis Indicator that I also published. This indicator operates under the same idea but using a completely different calculation to achieve similar results. The idea behind this indicator is for a combination of volatility and trend confirmation. If the indicator is above it's signal line then the stock is very volatile and vice versa. If the stock is currently trending as in above a chosen moving average for example and the indicator falls below the signal line then there is a pretty good chance in a trend reversal. The recommended buy and sell system to use is to pair this indicator with a moving average crossover system which I have included in the script. Buy when the indicator is above it's signal and the shorter moving average crosses above the longer moving average. For selling you would do the same and sell when the indicator is above it's signal and the shorter moving average crosses below the longer moving average. I have included strong buy and sell signals in addition to the normal ones so stronger signals are darker in color and normal signals are lighter in color.
Let me know what other indicators or scripts you would like to see me publish!
